Method for controlling auto-tuning process with aid of interactive graphical user interface, and associated apparatus

Abstract

A method for controlling an auto-tuning process with aid of an interactive graphical user interface (GUI) and associated apparatus (e.g., a computer) for running the interactive GUI are provided. The method may include: executing, by using a processing circuit within an electronic device, the auto-tuning process, for tuning a plurality of genetic-algorithm parameters (GA parameters) of a predetermined genetic algorithm; and during tuning the plurality of GA parameters, utilizing the interactive GUI to consolidate and aggregate real-time tuning data from the auto-tuning process in order to visualize the auto-tuning process with the interactive GUI, wherein visualizing the auto-tuning process with the interactive GUI may include generating at least one plot illustrating at least the real-time tuning data, for facilitating and accelerating interaction between a user and the auto-tuning process.

What is claimed is: 
     
         1 . A method for controlling an auto-tuning process with aid of an interactive graphical user interface (GUI), the method comprising:
 executing, by using a processing circuit within an electronic device, the auto-tuning process, for tuning a plurality of genetic-algorithm parameters (GA parameters) of a predetermined genetic algorithm; and   during tuning the plurality of GA parameters, utilizing the interactive GUI to consolidate and aggregate real-time tuning data from the auto-tuning process in order to visualize the auto-tuning process with the interactive GUI, wherein visualizing the auto-tuning process with the interactive GUI comprises generating at least one plot illustrating at least the real-time tuning data, for facilitating and accelerating interaction between a user and the auto-tuning process.   
     
     
         2 . The method of  claim 1 , wherein the at least one plot is configurable to suit at least one specific requirement. 
     
     
         3 . The method of  claim 1 , wherein the at least one plot is generated according to at least one configuration among multiple predetermined configurations. 
     
     
         4 . The method of  claim 1 , wherein the at least one plot is generated according to a first configuration for providing multiple display options, wherein the multiple display options comprises a first display option for displaying the real-time tuning data using any plot among a two-dimensional (2D) plot and a three-dimensional (3D) plot, and a second display option for displaying the real-time tuning data using any plot among a colored plot and an uncolored plot. 
     
     
         5 . The method of  claim 1 , wherein the at least one plot is generated according to a second configuration for providing multiple axis options, wherein the multiple axis options comprises a first axis option for defining a first axis as a first type of data, and a second axis option for defining a second axis as a second type of data. 
     
     
         6 . The method of  claim 1 , wherein the at least one plot is generated according to a third configuration for providing multiple reference-line options, wherein the multiple reference-line options comprises a first reference-line option for displaying at least one baseline with any drawing object among multiple predetermined drawing objects, and a second reference-line option for displaying at least one auxiliary line corresponding to any data classification criterion among multiple predetermined data classification criteria. 
     
     
         7 . The method of  claim 1 , wherein the at least one plot is generated according to a fourth configuration for providing multiple filter-out options, wherein the multiple filter-out options comprises a first filter-out option for filtering out a first portion of data that is not of interest according to a first user-setting range, and a second filter-out option for filtering out a second portion of data that is not of interest according to a second user-setting range. 
     
     
         8 . The method of  claim 1 , wherein the at least one plot is generated according to a fifth configuration for providing multiple hyperparameter options, wherein the multiple hyperparameter options comprises a first hyperparameter option for displaying a first hyperparameter, and a second hyperparameter option for displaying a second hyperparameter. 
     
     
         9 . The method of  claim 1 , wherein visualizing the auto-tuning process with the interactive GUI further comprises generating at least one interactive object for the user to enable interactive communication with the auto-tuning process. 
     
     
         10 . The method of  claim 9 , wherein the at least one interactive object is arranged to input a user setting regarding at least one hyperparameter among multiple hyperparameters related to the predetermined genetic algorithm into the auto-tuning process. 
     
     
         11 . The method of  claim 1 , wherein the interactive GUI is arranged to consolidate and aggregate the real-time tuning data from the auto-tuning process in order to visualize the auto-tuning process with the interactive GUI, for generating at least one visualization result of visualizing the auto-tuning process with the interactive GUI; and a first visualization result among the at least one visualization result comprises a single-objective tuning visualization, where the single-objective tuning visualization represents a visualization for single-objective tuning, and a single objective of the single-objective tuning comprises an objective of achieving an extreme value with respect to a single axis. 
     
     
         12 . The method of  claim 1 , wherein the interactive GUI is arranged to consolidate and aggregate the real-time tuning data from the auto-tuning process in order to visualize the auto-tuning process with the interactive GUI, for generating at least one visualization result of visualizing the auto-tuning process with the interactive GUI; and a second visualization result among the at least one visualization result comprises a multi-objective tuning visualization, where the multi-objective tuning visualization represents a visualization for multi-objective tuning, and multiple objectives of the multi-objective tuning comprise a first objective of achieving a first extreme value with respect to a first axis and a second objective of achieving a second extreme value with respect to a second axis. 
     
     
         13 . The method of  claim 1 , wherein the interactive GUI is arranged to consolidate and aggregate the real-time tuning data from the auto-tuning process in order to visualize the auto-tuning process with the interactive GUI, for generating at least one visualization result of visualizing the auto-tuning process with the interactive GUI; and a third visualization result among the at least one visualization result comprises a hyperparameters configuring visualization, where the hyperparameters configuring visualization represents a visualization for configuring of multiple hyperparameters, and the configuring of the multiple hyperparameters comprises one or a combination of a configuring history of the multiple hyperparameters and a configuring log of the multiple hyperparameters. 
     
     
         14 . The method of  claim 1 , wherein the interactive GUI is arranged to consolidate and aggregate the real-time tuning data from the auto-tuning process in order to visualize the auto-tuning process with the interactive GUI, for generating at least one visualization result of visualizing the auto-tuning process with the interactive GUI; and a fourth visualization result among the at least one visualization result comprises a tuning-progress monitoring visualization, where the tuning-progress monitoring visualization represents a visualization for tuning-progress monitoring, and the visualization for the tuning-progress monitoring is implemented by using distinct progress indicators of multiple passes, for monitoring tuning progresses corresponding to the multiple passes, respectively. 
     
     
         15 . The method of  claim 1 , wherein the interactive GUI is arranged to consolidate and aggregate the real-time tuning data from the auto-tuning process in order to visualize the auto-tuning process with the interactive GUI, for generating at least one visualization result of visualizing the auto-tuning process with the interactive GUI; and a fifth visualization result among the at least one visualization result comprises a pass-in-pipeline monitoring visualization, where the pass-in-pipeline monitoring visualization represents a visualization for pass-in-pipeline monitoring regarding multiple passes in a pipeline, and the visualization for the pass-in-pipeline monitoring is implemented by providing selectable objects corresponding to multiple passes in a pipeline for selecting any pass among all of the multiple passes in the pipeline. 
     
     
         16 . The method of  claim 1 , wherein the interactive GUI is arranged to consolidate and aggregate the real-time tuning data from the auto-tuning process in order to visualize the auto-tuning process with the interactive GUI, for generating at least one visualization result of visualizing the auto-tuning process with the interactive GUI; and a sixth visualization result among the at least one visualization result comprises a individual-data pop-up visualization, where the individual-data pop-up visualization represents a visualization for illustrating any individual data among all individual data in a pop-up manner, and the visualization for illustrating the any individual data is implemented by illustrating the any individual data in detail in a table in response to an item corresponding to the any individual data in the individual-data pop-up visualization is selected by the user. 
     
     
         17 . The method of  claim 1 , wherein the real-time tuning data comprises multiple calculation results collected from multiple calculation operations of the auto-tuning process during tuning the plurality of GA parameters; and utilizing the interactive GUI to consolidate and aggregate the real-time tuning data from the auto-tuning process in order to visualize the auto-tuning process with the interactive GUI further comprises:
 collecting the multiple calculation results from the multiple calculation operations, for aggregating the real-time tuning data from the auto-tuning process; and   illustrating the multiple calculation results with the at least one plot, for consolidating the real-time tuning data from the auto-tuning process.   
     
     
         18 . The method of  claim 17 , wherein collecting the multiple calculation results from the multiple calculation operations for aggregating the real-time tuning data from the auto-tuning process further comprises:
 collecting the multiple calculation results from the multiple calculation operations while adjusting at least one GA parameter among the plurality of GA parameters, for aggregating the real-time tuning data from the auto-tuning process.   
     
     
         19 . The method of  claim 17 , wherein illustrating the multiple calculation results with the at least one plot for consolidating the real-time tuning data from the auto-tuning process further comprises:
 illustrating the multiple calculation results with the at least one plot in a standardized data structure to ensure consistency, for consolidating the real-time tuning data from the auto-tuning process.   
     
     
         20 . An apparatus for controlling an auto-tuning process with aid of an interactive graphical user interface (GUI), the apparatus comprising:
 a first processing circuit, arranged to control operations of the apparatus, wherein the interactive GUI is running on the first processing circuit;   
       wherein:
 a second processing circuit within an electronic device is arranged to execute the auto-tuning process, for tuning a plurality of genetic-algorithm parameters (GA parameters) of a predetermined genetic algorithm; and 
 during tuning the plurality of GA parameters, the interactive GUI running on the first processing circuit is arranged to consolidate and aggregate real-time tuning data from the auto-tuning process in order to visualize the auto-tuning process with the interactive GUI, wherein visualizing the auto-tuning process with the interactive GUI comprises generating at least one plot illustrating at least the real-time tuning data, for facilitating and accelerating interaction between a user and the auto-tuning process. 
 
     
     
         21 . The apparatus of  claim 20 , wherein the apparatus comprises the electronic device, wherein the second processing circuit is equal to the first processing circuit. 
     
     
         22 . The apparatus of  claim 20 , wherein the apparatus comprises a first electronic device, wherein the electronic device represents a second electronic device that is coupled to the first electronic device via at least one network.